Evaluation of Signals Before and After Filtration in the Process of Filling and Heating Water in the Smart Home System
Annotatsiya
This article discusses a hybrid model for controlling the processes of filling and heating water in a smart home system. To improve the accuracy and reliability of the model, the use of a Kalman filter for filtering signals, splines for data interpolation, a PID controller for precise control of temperature and water levels, as well as fuzzy logic for adapting system parameters is proposed. The paper evaluates the signals before and after applying the Kalman filter, and defines the objective function of the system. To verify the accuracy of the developed model and algorithms, the mean absolute deviation (MAE) and RMS error (RMSE) were calculated and the signal-to-noise ratio (SNR) was compared before and after filtering. The results of the analysis are presented in tables and graphs, and conclusions are drawn about the importance of saving water and electricity.